Freelancer profile translated to English.
Back to original languageAbout Guilhem
Fullstack Tech Lead specializing in AI integration for ambitious scale-ups and SMEs.
Arts et Métiers ParisTech Engineer (AI option), 5 years in European scale-ups. Operational Tech Lead + AI expertise in production + data science background.
I build AI systems that actually run — not just demos.
WHAT I DO:
→ Multi-agent AI systems architecture (Claude API, RAG, MCP)
→ Industrialization of AI PoCs in production
→ Integration of AI into existing Next.js stacks
→ Workflow automation (lead nurturing, scoring, content)
→ AI audit and roadmap for decision-makers
AI TRANSFORMATION FOR NON-TECH TEAMS:
Beyond code, I help business teams (marketing, sales, ops) adopt AI autonomously: enterprise AI infrastructure (MCP, custom skills, agents), hands-on training for leaders, environments tailored for non-tech profiles.
Concrete case: a marketing team that generates its own landing pages, white papers, and targeted campaigns with complete autonomy.
MY PROOF:
- Operational Tech Lead at a European real estate scale-up (millions of users)
- Steering major projects, lead reviewer, mentor for juniors
- Enterprise AI architecture deployed in production
STACK:
Frontend: Next.js 14/15, React, TypeScript, Tailwind
Backend: C#/.NET, Node.js, Supabase
AI: Claude API, OpenAI, MCP, RAG, multi-agent
Infra: Azure DevOps, Cloudflare, CI/CD
WHAT SETS ME APART:
AI background not born with ChatGPT. Deep learning academic training + data science at Alten + 5 years in scale-up production. I deliver 3-5x faster thanks to a proven AI-native workflow.
TYPICAL MISSIONS:
- Flash AI audit (5 days)
- Custom AI agent setup (3-4 weeks)
- Team AI transformation (2-3 months)
- Tech Lead mission (3-6 months)
- AI Advisor (monthly retainer)
Dreux + Paris (50km) or remote.
Let's discuss your challenges: a 20-minute chat often identifies 2-3 AI quick wins for your context.
French
Native or bilingual
English
Fluent
Can work on-site
Dreux (up to 30km), Paris (up to 10km)
Experience
- Green-AcresSenior Full Stack Developer | Operational Tech Lead | Scrum Master | On-call ManagerREAL ESTATESeptember 2021 - Today (4 years and 10 months)Paris, FrancePan-European real estate scale-up (millions of users, presence in 50+ countries).PILOT OF TRANSVERSE AI ADOPTION (since 2024)→ Design and deployment of an enterprise AI infrastructure: MCP servers connected to the internal database, custom skills, business agents→ Hands-on training for non-tech teams (marketing, operations) on using Claude and AI tools in their daily work→ Individual support for the marketing director: configuration of a "non-tech friendly" workstation, autonomous generation of landing pages and white papers→ Integration with the marketing team to work closely with their business needsImpact: non-tech teams are now autonomous on 80% of topics historically blocked by the tech team (business questions, content generation).OPERATIONAL TECH LEAD RESPONSIBILITIES→ Transverse technical referent: first point of contact for other teams in case of technical blockage or historical questions about architecture→ Lead reviewer for Pull Requests and RFCs (first in volume of in-depth reviews on the technical team)→ Mentor: training and support of several junior and middle developers over 5 years→ End-to-end steering of structuring projects: design, architecture, development, deliveryMAJOR ACHIEVEMENTS- Complete steering of the "Shared Search" feature: design, architecture, development, go-live- Design and implementation of the advanced email tracking system (deliverability, analytics, anomaly detection, lead improvement)- Implementation of Elasticsearch + performance optimizations- Global application security: ReCAPTCHA, XSRF, anti-spam- Graphic redesign of the front-end and UX improvementCOMPLEMENTARY RESPONSIBILITIES- Scrum Master: facilitating agile rituals, steering team velocity- On-call Manager: organizing 24/7 on-call shifts, managing critical production incidents
- AltenData Scientist — Artificial Intelligence & Machine LearningRESEARCHFebruary 2021 - September 2021 (7 months)Paris, FranceR&D mission for an industrial client as part of my engineering thesis (Arts et Métiers ParisTech, AI option).MISSIONDesign and deployment of a real-time streaming anomaly detection platform for a major industrial client.ACHIEVEMENTS- Implementation of AI algorithms for real-time anomaly detection- Architecture of the data streaming pipeline- Development of the visualization and alerting interface (Vue.js)- Selection and optimization of machine learning models (neural networks, statistical methods)- Hyperparameter tuning and performance evaluation- Go-live and user supportIMPACTThis early academic experience — completed BEFORE the LLM and ChatGPT explosion — forged my fundamental understanding of machine learning, model selection, and data-intensive production architectures.It is this foundation that allows me today to architect modern AI systems (Claude API, multi-agent, RAG) with deep insight, not just superficially.
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Education
- Engineering Degree — Specialization Artificial IntelligenceÉcole nationale supérieure d'Arts et Métiers | ENSAM2021Diplômé du cycle ingénieur des Arts et Métiers ParisTech (l'une des grandes écoles d'ingénieurs françaises), avec une spécialisation en Intelligence Artificielle. PARCOURS DE SPÉCIALISATION IA : - Deep Learning et réseaux de neurones - Machine Learning supervisé et non supervisé - Computer Vision et CNN - Sequence Models et NLP - Optimisation et hyperparamètres PROJET DE FIN D'ÉTUDES : Conception et déploiement d'une plateforme de détection d'anomalies en streaming pour un client industriel grand compte (mission Alten). 6 CERTIFICATIONS DEEP LEARNING (DeepLearning.AI / Coursera / Stanford) en parallèle de mon cursus.
- Preparatory Classes for Grandes Écoles — Physics and Technology (PT)Lycée Benjamin Franklin — Orléans2018Préparation aux concours d'entrée aux grandes écoles d'ingénieurs. Concours Banque PT.
Certifications
- Neural Networks and Deep LearningCoursera/Stanford2020
- Machine LearningCoursera/Stanford2020